Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "139"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 139 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 85 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 83 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 139, Node N13:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459902 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 1.102141 -0.426472 1.735414 -0.723126 0.119337 -1.642205 -1.136445 0.391488 0.6503 0.6611 0.3900 nan nan
2459901 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 0.820260 -0.653885 1.179851 -1.239413 0.128667 -1.840902 -1.374137 0.702573 0.6708 0.6775 0.3834 nan nan
2459900 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 0.881492 -0.915273 1.204730 -1.187417 0.407789 -1.372643 -1.502759 -0.159593 0.6128 0.6351 0.3257 nan nan
2459898 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 0.635892 -0.530180 1.294457 -1.210803 -0.374417 -1.978358 -2.224105 -0.421961 0.6633 0.6748 0.3850 nan nan
2459897 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 0.847484 -0.603145 1.648034 -1.021667 0.110690 -2.277754 -1.921893 -0.058459 0.6599 0.6638 0.3918 nan nan
2459896 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 0.913316 -0.760747 1.466443 -0.983651 -0.479917 -2.414884 -0.842424 0.808513 0.6590 0.6651 0.3907 nan nan
2459895 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 0.077937 -0.682103 2.099340 -0.678765 1.146267 -2.594475 1.344470 -1.950469 0.7370 0.7318 0.2835 nan nan
2459894 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 0.498590 -0.896900 1.510893 -0.963211 0.327504 -2.261655 -1.342787 -0.535471 0.6643 0.6599 0.3803 nan nan
2459893 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 0.933461 -0.663312 1.266810 -1.233859 -0.350564 -1.329583 -1.979634 -0.573008 0.6708 0.6741 0.3763 nan nan
2459892 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 0.882578 -0.840083 1.531562 -1.253907 0.021124 -2.021384 -1.611158 -0.009045 0.6721 0.6806 0.3754 nan nan
2459891 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 0.774138 -0.562657 1.877524 -1.083378 -0.167069 -2.257663 -1.744864 -0.270532 0.6669 0.6756 0.3789 nan nan
2459890 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 0.456446 -0.930828 2.142213 -0.993604 -0.216066 -1.825561 -0.340291 0.357154 0.6687 0.6726 0.3794 nan nan
2459889 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 0.666827 -0.832117 1.818127 -1.111595 -0.301857 -0.115792 -2.386127 0.705434 0.6760 0.6771 0.3758 nan nan
2459888 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 0.655561 -0.969339 1.984685 -0.704224 0.387599 -2.573014 -0.159264 -0.693278 0.6883 0.6971 0.3714 nan nan
2459887 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 0.387007 -0.948639 0.960569 -1.480626 -1.466439 -2.534384 -1.366795 0.164562 0.6750 0.6806 0.3799 nan nan
2459886 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - -0.048954 -1.018577 1.484413 -0.715798 -0.014636 -1.653905 0.065628 -1.318320 0.7433 0.7351 0.3250 nan nan
2459885 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 1.452148 0.011983 30.563004 17.133711 4.054054 2.747433 9.691072 3.600817 0.7059 0.7027 0.3535 nan nan
2459884 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 4.441880 1.674202 4.918153 3.414487 4.279715 2.331525 -3.155565 -2.022963 0.6723 0.6850 0.3882 nan nan
2459883 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 6.764173 4.072724 40.963812 35.699041 5.155861 5.244433 -5.801580 -2.669634 0.6656 0.6861 0.3891 nan nan
2459882 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 10.603717 6.462622 48.706503 41.679123 7.465988 7.432229 -2.407451 -0.488427 0.6665 0.6801 0.3827 nan nan
2459881 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 7.002903 4.055062 54.537059 47.129606 14.796149 14.298215 -5.027361 1.281351 0.7142 0.7366 0.3272 nan nan
2459880 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 7.570058 4.330927 43.768277 38.030318 4.476612 4.461798 -3.322607 -2.126402 0.6656 0.6874 0.3928 nan nan
2459879 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 3.172394 0.795421 2.108286 0.759708 -0.431426 -1.563879 -4.344997 -3.254741 0.6504 0.6766 0.4106 nan nan
2459878 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 7.292762 4.719113 53.277870 46.488681 7.796675 8.108885 -6.382245 -4.151321 0.6616 0.6882 0.3973 nan nan
2459876 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459875 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 7.651025 3.569726 51.430332 44.034541 9.123131 11.017697 -1.678565 2.793812 0.6960 0.7076 0.3875 nan nan
2459874 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 10.743167 5.427929 26.537374 22.434743 12.316945 13.265743 -4.909194 -4.143512 0.6885 0.6789 0.3739 nan nan
2459873 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 7.836192 3.746421 36.046747 30.543727 4.428622 5.636161 -3.344711 -2.668343 0.6915 0.6801 0.3763 nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 139: 2459902

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Power 1.735414 1.102141 -0.426472 1.735414 -0.723126 0.119337 -1.642205 -1.136445 0.391488

Antenna 139: 2459901

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Power 1.179851 0.820260 -0.653885 1.179851 -1.239413 0.128667 -1.840902 -1.374137 0.702573

Antenna 139: 2459900

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Power 1.204730 0.881492 -0.915273 1.204730 -1.187417 0.407789 -1.372643 -1.502759 -0.159593

Antenna 139: 2459898

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Power 1.294457 -0.530180 0.635892 -1.210803 1.294457 -1.978358 -0.374417 -0.421961 -2.224105

Antenna 139: 2459897

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Power 1.648034 -0.603145 0.847484 -1.021667 1.648034 -2.277754 0.110690 -0.058459 -1.921893

Antenna 139: 2459896

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Power 1.466443 -0.760747 0.913316 -0.983651 1.466443 -2.414884 -0.479917 0.808513 -0.842424

Antenna 139: 2459895

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Power 2.099340 0.077937 -0.682103 2.099340 -0.678765 1.146267 -2.594475 1.344470 -1.950469

Antenna 139: 2459894

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Power 1.510893 -0.896900 0.498590 -0.963211 1.510893 -2.261655 0.327504 -0.535471 -1.342787

Antenna 139: 2459893

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Power 1.266810 0.933461 -0.663312 1.266810 -1.233859 -0.350564 -1.329583 -1.979634 -0.573008

Antenna 139: 2459892

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Power 1.531562 -0.840083 0.882578 -1.253907 1.531562 -2.021384 0.021124 -0.009045 -1.611158

Antenna 139: 2459891

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Power 1.877524 0.774138 -0.562657 1.877524 -1.083378 -0.167069 -2.257663 -1.744864 -0.270532

Antenna 139: 2459890

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Power 2.142213 -0.930828 0.456446 -0.993604 2.142213 -1.825561 -0.216066 0.357154 -0.340291

Antenna 139: 2459889

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Power 1.818127 0.666827 -0.832117 1.818127 -1.111595 -0.301857 -0.115792 -2.386127 0.705434

Antenna 139: 2459888

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Power 1.984685 -0.969339 0.655561 -0.704224 1.984685 -2.573014 0.387599 -0.693278 -0.159264

Antenna 139: 2459887

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Power 0.960569 -0.948639 0.387007 -1.480626 0.960569 -2.534384 -1.466439 0.164562 -1.366795

Antenna 139: 2459886

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Power 1.484413 -0.048954 -1.018577 1.484413 -0.715798 -0.014636 -1.653905 0.065628 -1.318320

Antenna 139: 2459885

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Power 30.563004 0.011983 1.452148 17.133711 30.563004 2.747433 4.054054 3.600817 9.691072

Antenna 139: 2459884

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Power 4.918153 1.674202 4.441880 3.414487 4.918153 2.331525 4.279715 -2.022963 -3.155565

Antenna 139: 2459883

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Power 40.963812 4.072724 6.764173 35.699041 40.963812 5.244433 5.155861 -2.669634 -5.801580

Antenna 139: 2459882

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Power 48.706503 6.462622 10.603717 41.679123 48.706503 7.432229 7.465988 -0.488427 -2.407451

Antenna 139: 2459881

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Power 54.537059 4.055062 7.002903 47.129606 54.537059 14.298215 14.796149 1.281351 -5.027361

Antenna 139: 2459880

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Power 43.768277 4.330927 7.570058 38.030318 43.768277 4.461798 4.476612 -2.126402 -3.322607

Antenna 139: 2459879

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Shape 3.172394 0.795421 3.172394 0.759708 2.108286 -1.563879 -0.431426 -3.254741 -4.344997

Antenna 139: 2459878

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Power 53.277870 4.719113 7.292762 46.488681 53.277870 8.108885 7.796675 -4.151321 -6.382245

Antenna 139: 2459876

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 139: 2459875

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Power 51.430332 7.651025 3.569726 51.430332 44.034541 9.123131 11.017697 -1.678565 2.793812

Antenna 139: 2459874

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Power 26.537374 10.743167 5.427929 26.537374 22.434743 12.316945 13.265743 -4.909194 -4.143512

Antenna 139: 2459873

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
139 N13 RF_maintenance ee Power 36.046747 7.836192 3.746421 36.046747 30.543727 4.428622 5.636161 -3.344711 -2.668343
In [ ]: